Edited: 100+ have voted Results to follow Thank You Please take ten seconds to respond to this poll — it helps everyone see the real meta! I’ll like every comment. BONUS: If I can twist @Jake Van Clief ’s arm, we’ll pick one random commenter for 1 month of premium access — for free once we hit 100+ votes! Vote and reply! Main method you use for interacting with AI agents right now? WHAT"S IN YOUR TOOLBOX RIGHT NOW?

If you’re deep in Level 3 “Building Your Stack” or just tired of wrestling with half-baked AI memory hacks, I’ve got something you’re going to love. **Meet OB1 — Open Brain** . It’s not another rabbit hole. It’s the infrastructure layer for your thinking: One database + one AI gateway + one chat channel — and any AI (Claude, ChatGPT, Cursor, Claude Code, whatever drops next month) plugs straight in. No middleware. No SaaS chains. No Zapier spaghetti. Why this matters right now (the pain we all feel) Right now “managed memories” are a vendor-lock-in trap: - Claude has its own memory. - ChatGPT has its own memory. - Cursor has its own. - Every new model that ships next quarter will have its own. Your life story, your household knowledge, your job-hunt pipeline, your taste preferences — they’re all trapped inside proprietary silos. Want to switch providers? Start from zero. Want to let two AIs talk about the same context? Build brittle integrations and pay for every hop. Want semantic recall across tools? Good luck.That’s not hacking — that’s renting brain space from landlords who can change the locks whenever they feel like it. OB1 flips the script You get one single source of truth: a Supabase Postgres table (thoughts) with built-in vector search. Every AI talks to the same persistent memory of you through an open Model Communication Protocol (MCP) gateway. - Capture thoughts via Slack/Discord/email → instantly embedded and indexed. - Any AI reads/writes with row-level security so your household data stays private. - No more copy-paste hell. No more “which model remembers what?” It’s literally the open brain layer that the big vendors refuse to give you — because once you own your memory, you own your stack. Built for us The repo is designed for exactly the kind of people in this skool: - 45-minute AI-assisted setup (Cursor or Claude Code can literally build it for you from the README). - Extensions folder with ready-to-extend modules (household KB, meal planner, CRM, job-hunt pipeline). - Primitives, schemas, recipes, and dashboards so you can fork, remix, and ship your own agent memory layers. - Full TypeScript + Python + Supabase stack — perfect for the “custom UIs + infrastructure” crowd.

Do I understand correctly that ICM is not automation and never will be? It's human review "gated" workflows to produce some sort of deliverable? Not intended to run unattended or in an application? Maybe people have created ICM workflows and built a Claude code browser interface for end users and delivered this way? Is any of this true? I mean. I understand anything is possible. But am I understanding the design of ICM correctly? Purpose built workstation but not application automation.

In case @Jake Van Clief wasn’t convincing enough… Check out the sale: https://www.skool.com/cliefnotes/the-last-sale-ever-help-us-get-to-vegas?p=097cbd33 https://youtube.com/shorts/8amYElBcAG8?si=Z__5pFC7qX4MMJpV

I can speak! Got the Claude setup done, It took a while only because I'm not playing around. I'm starting with my COO build, and will work down stream from there. Thanks @Jake Van Clief , this is literally the difference between failure and success. Truly next level my man.